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09/11/2023
Low-Complexity Vector Source Coding for Discrete Long Sequences with Unknown Distributions
In this paper, we propose a source coding scheme that represents data fr...
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06/08/2023
Differential Privacy for Class-based Data: A Practical Gaussian Mechanism
In this paper, we present a notion of differential privacy (DP) for data...
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08/17/2022
Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI
The effective representation, precessing, analysis, and visualization of...
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11/23/2021
Optimum Noise Mechanism for Differentially Private Queries in Discrete Finite Sets
In this paper, we provide an optimal additive noise mechanism for databa...
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11/15/2021
Colored Noise Mechanism for Differentially Private Clustering
The goal of this paper is to propose and analyze a differentially privat...
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08/13/2021
A Parallel Distributed Algorithm for the Power SVD Method
In this work, we study how to implement a distributed algorithm for the ...
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12/27/2020
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
In federated learning, models are learned from users' data that are held...
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08/24/2020
Integrating Hardware Security into a Blockchain-Based Transactive Energy Platform
This applied research paper introduces a novel framework for integrating...
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08/04/2020
A User Guide to Low-Pass Graph Signal Processing and its Applications
The notion of graph filters can be used to define generative models for ...
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06/09/2020
Physical Education and English Language Arts Based K-12 Engineering Outreach in Software Defined Networking (Extended Version)
K-12 engineering outreach has typically focused on elementary electrical...
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09/05/2018
Blind Community Detection from Low-rank Excitations of a Graph Filter
This paper considers a novel framework to detect communities in a graph ...
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05/31/2018
On Curvature-aided Incremental Aggregated Gradient Methods
This paper studies an acceleration technique for incremental aggregated ...
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03/22/2018
SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization
We propose and analyze a new stochastic gradient method, which we call S...
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10/24/2017
Curvature-aided Incremental Aggregated Gradient Method
We propose a new algorithm for finite sum optimization which we call the...
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12/20/2016
RIDS: Robust Identification of Sparse Gene Regulatory Networks from Perturbation Experiments
Reconstructing the causal network in a complex dynamical system plays a ...
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09/14/2016
Distributed Estimation of the Operating State of a Single-Bus DC MicroGrid without an External Communication Interface
We propose a decentralized Maximum Likelihood solution for estimating th...
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06/24/2016
Modeling Group Dynamics Using Probabilistic Tensor Decompositions
We propose a probabilistic modeling framework for learning the dynamic p...
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01/21/2016